Section
A novel deep learning network trained on synchrotron imaging data automates accurate inner ear segmentation in clinical CT, surpassing expert performance and establishing a new standard for preoperative planning.
This longitudinal study demonstrates a modest association between acetabular labral tears and cartilage loss in young high-impact athletes, highlighting the complexity of hip joint degeneration and the need for multifactorial prevention str
Recent evidence highlights the prognostic significance of body composition metrics, including BMI, skeletal muscle mass, and adiposity distribution, in head and neck cancer radiotherapy outcomes. Automated 3D CT phenotyping refines risk str
A deep learning model classifying usual interstitial pneumonia patterns on CT scans predicts fibrosis progression and mortality in individuals with interstitial lung abnormalities, offering a promising tool for risk stratification and clini
This review synthesizes phase 2 trial data supporting neoadjuvant stereotactic ablative radiotherapy for RCC with IVC tumor thrombus, highlighting improved recurrence-free survival, acceptable safety, and biomarker insights that underscore
This study evaluates the accuracy and reliability of intraoral ultrasonography to measure gingival sulcus depth compared to traditional clinical probing, demonstrating high agreement and potential as a non-invasive diagnostic tool in dental
Centralized clinical and imaging evaluation via telemedicine significantly improves diagnostic accuracy in patients suspected of axial spondyloarthritis, reducing misdiagnoses and guiding more precise patient management.
Combining FIESTA-C and MENSA MRI sequences improves visualization of the facial nerve and tumor localization in parotid gland surgery, potentially reducing facial nerve palsy risk.
Complete sciatic nerve involvement on MRI and higher BAMIC grades predict longer return-to-sport times after acute hamstring strains in NCAA Division I football players, informing prognosis and rehabilitation strategies.
Ultra-widefield swept-source OCT excels in assessing small-to-medium choroidal tumors, outperforming SD-OCT and providing detailed structural insights with noninvasive precision, though larger or complex tumors benefit from multimodal imagi
This multicenter RCT demonstrates that contrast-enhanced ultrasound (CEUS)-guided biopsy surpasses conventional US- and CT-guided modalities in diagnostic yield, sensitivity, and safety for subpleural lung lesions, highlighting its clinical
This study quantifies thyroid ultrasound use following incidental thyroid nodule detection and identifies factors influencing downstream evaluation, highlighting opportunities to optimize care and reduce unnecessary interventions.
Despite guidelines recommending judicious CT use for pediatric mild TBI, national data from 2017-2023 show persistently high and variable imaging rates across hospital types, underscoring gaps in guideline adoption and the need for targeted
MRI-detected hand tenosynovitis and ultrasound-detected bone erosions independently and jointly predict progression to inflammatory arthritis in anti-CCP positive individuals with musculoskeletal symptoms but no clinical synovitis.
This multicentre observational study characterizes the clinicoradiological profile and treatment outcomes of 25 orbital and periorbital epithelioid hemangioma cases, highlighting superior orbital tropism, a hypervascular MRI phenotype, and
A 4-year cohort study demonstrates that optimized noncontrast MRA is a reliable, noninferior alternative to contrast-enhanced CTA for deep inferior epigastric perforator (DIEP) flap planning, reducing operative time and avoiding radiation a
This article evaluates spinal MRI features in AQP4-IgG+ NMOSD myelitis, highlighting the diagnostic specificity of bright spotty lesions, the double-contoured LETM sign, and sagittal ring enhancement for differentiating NMOSD from other mye
This review synthesizes recent evidence on quantitative CT markers of mucus plugging and emphysema in COPD, highlighting their combined impact on acute exacerbation risk and clinical heterogeneity, and discusses implications for personalize
This study introduces a standardized 5-class framework for tau PET imaging to better detect and stage Alzheimer’s disease, improving early diagnosis and patient stratification across different tracers.
This study delineates how vascular imaging morphologies, notably the double lumen sign, predict time-specific recurrence risk after craniocervical artery dissection, highlighting the hyperacute phase as critical for secondary prevention.
